Socioeconomic status and outcome following acute myocardial infarction in elderly patients

Socioeconomic disparities in the management and outcomes of acute myocardial infarction

BACKGROUND

Patients from lower socioeconomic status areas have poorer outcomes following acute myocardial infarction (AMI); however, how ethnicity modifies such socioeconomic disparities is unclear.

METHODS

Using the UK Myocardial Ischaemia National Audit Project (MINAP) registry, we divided 370 064 patients with AMI into quintiles based on Index of Multiple Deprivation (IMD) score, comprising seven domains including income, health, employment and education. We compared white and 'ethnic-minority' patients, comprising Black, Asian and mixed ethnicity patients (as recorded in MINAP); further analyses compared the constituents of the ethnic-minority group. Logistic regression models examined the role of the IMD, ethnicity and their interaction on the odds of in-hospital mortality.

RESULTS

More patients from the most deprived quintile (Q5) were from ethnic-minority backgrounds (Q5; 15% vs Q1; 4%). In-hospital mortality (OR 1.10, 95% CI 1.01 to 1.19, p=0.025) and major adverse cardiovascular event (MACE) (OR 1.07, 95% CI 1.00 to 1.15, p=0.048) were more likely in Q5, and MACE was more likely in ethnic-minority patients (OR 1.40, 95% CI 1.00 to 1.95, p=0.048) versus white (OR 1.05, 95% CI 0.98 to 1.13, p=0.027) in Q5. In subgroup analyses, Black patients had the highest in-hospital mortality within the most affluent quintile (Q1) (Black: 0.079, 95% CI 0.046 to 0.112, p<0.001; White: 0.062, 95% CI 0.059 to 0.066, p<0.001), but not in Q5 (Black: 0.065, 95% CI 0.054 to 0.077, p<0.001; White: 0.065, 95% CI 0.061 to 0.069, p<0.001).

CONCLUSION

Patients with a higher deprivation score were more often from an ethnic-minority background, more likely to suffer in-hospital mortality or MACE when compared with the most affluent quintile, and this relationship was stronger in ethnic minorities compared with White patients.

Health Disparities Across the Continuum of ASCVD Risk

PURPOSE OF THE REVIEW

Despite marked progress in cardiovascular disease management in the last several decades, there remain significant, persistent disparities in cardiovascular health in historically marginalized racial and ethnic groups. Here, we outline current state of health disparities in cardiovascular disease, discuss the interplay between social determinants of health, structural racism, and cardiovascular outcomes, and highlight strategies to address these issues.

RECENT FINDINGS

Across the continuum of atherosclerotic cardiovascular disease (ASCVD) prevention, there remain significant disparities in outcomes including morbidity and mortality by race, ethnicity, and socioeconomic status (SES). These disparities begin early in childhood (primordial prevention) and continue with a higher prevalence of cardiovascular risk factors (primary prevention), and in the uptake of evidence-based therapies (secondary prevention). These disparities are driven by social determinants of health and structural racism that disproportionately disadvantage historically marginalized populations. Structural racism and social determinants of health contribute to significant disparities in cardiovascular morbidity and mortality.

Influence of Household Income on Management and Outcomes of Acute Myocardial Infarction Complicated by Cardiogenic Shock

The impact of socioeconomic status on care and outcomes of patients with acute myocardial infarction complicated by cardiogenic shock (AMI-CS) remains understudied. Hence, adult admissions with AMI-CS were identified from the National Inpatient Sample database (2005 to 2017) and were divided into quartiles on the basis of median household income for zip code (0 to 25th, 26th to 50th, 51st to 75th, and 76th to 100th). In-hospital mortality, use of cardiac and noncardiac procedures, and resource utilization were compared between all 4 income quartiles. Among a total of 7,805,681 AMI admissions, cardiogenic shock was identified in 409,294 admissions (5.2%) with comparable prevalence of cardiogenic shock across all 4 income quartiles. AMI-CS admissions belonging to the lowest income quartile presented more often with non-ST-elevation myocardial infarction and had comparable use of coronary angiography and percutaneous coronary intervention but lower use of early coronary angiography, early percutaneous coronary intervention, mechanical circulatory support devices, and pulmonary artery catheterization than higher income quartiles. In the adjusted analysis, admissions belonging to the 0 to 25th income quartile (odds ratio [OR] 1.17 [95% confidence interval [CI] 1.15 to 1.20], p <0.001), 26th to 50th quartile (OR 1.11 [95% CI 1.09 to 1.14], p <0.001), and 51st to 75th income quartile (OR 1.06 [95% CI 1.04 to 1.09], p <0.001) had higher adjusted in-hospital mortality than the highest income quartile (76th to 100th). Lowest income quartile admissions had lower rates of palliative care consultations and higher rates of do-not-resuscitate status than the higher income quartiles. Hospitalization charges and length of stay were higher for admissions belonging to the highest income quartile. In conclusion, lowest income quartile AMI-CS admissions were associated with higher rates of non-ST-elevation myocardial infarction, lower use of mechanical circulatory support devices, and higher in-hospital mortality.

Socioeconomic Status and Prognosis of Patients With ST-Elevation Myocardial Infarction Managed by the Emergency-Intervention “Codi IAM” Network

Background

Despite the spread of ST-elevation myocardial infarction (STEMI) emergency intervention networks, inequalities in healthcare access still have a negative impact on cardiovascular prognosis. The Family Income Ratio of Barcelona (FIRB) is a socioeconomic status (SES) indicator that is annually calculated. Our aim was to evaluate whether SES had an effect on mortality and complications in patients managed by the “Codi IAM” network in Barcelona.

Methods

This is a cohort study with 3,322 consecutive patients with STEMI treated in Barcelona from 2010 to 2016. Collected data include treatment delays, clinical and risk factor characteristics, and SES. The patients were assigned to three SES groups according to FIRB score. A logistic regression analysis was conducted to estimate the adjusted effect of SES on 30-day mortality, 30-day composite cardiovascular end point, and 1-year mortality.

Results

The mean age of the patients was 65 ± 13% years, 25% were women, and 21% had diabetes mellitus. Patients with low SES were younger, more often hypertensive, diabetic, dyslipidemic (p &lt; 0.003), had longer reperfusion delays (p &lt; 0.03) compared to participants with higher SES. Low SES was not independently associated with 30-day mortality (OR: 0.95;9 5% CI: 0.7–1.3), 30-day cardiovascular composite end point (OR: 1.03; 95% CI: 0.84–1.26), or 1-year all-cause mortality (HR: 1.09; 95% CI: 0.76–1.56).

Conclusion

Although the low-SES patients with STEMI in Barcelona city were younger, had worse clinical profiles, and had longer revascularization delays, their 30-day and 1-year outcomes were comparable to those of the higher-SES patients.

Real-world patient data: Can they support decision making and patient engagement?

Patient-reported outcomes (PROs) capture data related to patients' perception of their health status and aspects of health care delivery. In parallel, digital innovations have advanced the administration, storage, processing, and accessibility of PROs, allowing these data to become actively incorporated in day-to-day clinical practice along the entire patient care pathway. Further, the emergence of shared decision making, where patients are engaged in informed treatment selection aligned with their preferences, values, and needs, can be realized by PROs and technology. This technology-enabled, data-driven approach provides insights which, when actioned, can enhance musculoskeletal care of patients and populations, while enriching the clinician-patient experience of decision making. In this review, we provide an overview of the opportunities enabled by PROs and technology for the cycle of orthopedic care.

Relationship of Neighborhood Deprivation and Outcomes of a Comprehensive ST Elevation Myocardial Infarction Protocol

Background

We evaluated whether a comprehensive ST‐segment–elevation myocardial infarction protocol (CSP) focusing on guideline‐directed medical therapy, transradial percutaneous coronary intervention, and rapid door‐to‐balloon time improves process and outcome metrics in patients with moderate or high socioeconomic deprivation.

Methods and Results

A total of 1761 patients with ST‐segment–elevation myocardial infarction treated with percutaneous coronary intervention at a single hospital before (January 1, 2011–July 14, 2014) and after (July 15, 2014– July 15, 2019) CSP implementation were included in an observational cohort study. Neighborhood deprivation was assessed by the Area Deprivation Index and was categorized as low (≤50th percentile; 29.0%), moderate (51st –90th percentile; 40.8%), and high (>90th percentile; 30.2%). The primary process outcome was door‐to‐balloon time. Achievement of guideline‐recommend door‐to‐balloon time goals improved in all deprivation groups after CSP implementation (low, 67.8% before CSP versus 88.5% after CSP; moderate, 50.7% before CSP versus 77.6% after CSP; high, 65.5% before CSP versus 85.6% after CSP; all P<0.001). Median door‐to‐balloon time among emergency department/in‐hospital patients was significantly noninferior in higher versus lower deprivation groups after CSP (noninferiority limit=5 minutes; P_{noninferiority} high versus moderate = 0.002, high versus low <0.001, moderate versus low = 0.02). In‐hospital mortality, the primary clinical outcome, was significantly lower after CSP in patients with moderate/high deprivation in unadjusted (before CSP 7.0% versus after CSP 3.1%; odds ratio [OR], 0.42 [95% CI, 0.25–0.72]; P=0.002) and risk‐adjusted (OR, 0.42 [95% CI, 0.23–0.77]; P=0.005) models.

Conclusions

A CSP was associated with improved ST‐segment–elevation myocardial infarction care across all deprivation groups and reduced mortality in those from moderate or high deprivation neighborhoods. Standardized initiatives to reduce care variability may mitigate social determinants of health in time‐sensitive conditions such as ST‐segment–elevation myocardial infarction.

Body Mass Index and In-Hospital Management and Outcomes of Acute Myocardial Infarction

Background and Objectives: Contemporary data on the prevalence, management and outcomes of acute myocardial infarction (AMI) in relation to body mass index (BMI) are limited. Materials and Methods: Using the National Inpatient Sample from 2008 through 2017, we identified adult AMI hospitalizations and categorized them into underweight (BMI < 19.9 kg/m²), normal BMI and overweight/obese (BMI > 24.9 kg/m²) groups. We evaluated in-hospital mortality, utilization of cardiac procedures and resource utilization among these groups. Results: Among 6,089,979 admissions for AMI, 38,070 (0.6%) were underweight, 5,094,721 (83.7%) had normal BMI, and 957,188 (15.7%) were overweight or obese. Over the study period, an increase in the prevalence of AMI was observed in underweight and overweight/obese admissions. Underweight AMI admissions were, on average, older, with higher comorbidity, whereas overweight/obese admissions were younger and had lower comorbidity. In comparison to the normal BMI and overweight/obese categories, significantly lower use of coronary angiography (62.3% vs. 74.6% vs. 37.9%) and PCI (40.8% vs. 47.7% vs. 19.6%) was observed in underweight admissions (all p < 0.001). The underweight category was associated with significantly higher in-hospital mortality (10.0% vs. 5.5%; OR 1.23 (95% CI 1.18–1.27), p < 0.001), whereas being overweight/obese was associated with significantly lower in-hospital mortality compared to normal BMI admissions (3.1% vs. 5.5%; OR 0.73 (95% CI 0.72–0.74), p < 0.001). Underweight AMI admissions had longer lengths of in-hospital stay with frequent discharges to skilled nursing facilities, while overweight/obese admissions had higher hospitalization costs. Conclusions: In-hospital management and outcomes of AMI vary by BMI. Underweight status was associated with worse outcomes, whereas the obesity paradox was apparent, with better outcomes for overweight/obese admissions.

Mechanical Complications of Acute Myocardial Infarction: A Scientific Statement From the American Heart Association

Over the past few decades, advances in pharmacological, catheter-based, and surgical reperfusion have improved outcomes for patients with acute myocardial infarctions. However, patients with large infarcts or those who do not receive timely revascularization remain at risk for mechanical complications of acute myocardial infarction. The most commonly encountered mechanical complications are acute mitral regurgitation secondary to papillary muscle rupture, ventricular septal defect, pseudoaneurysm, and free wall rupture; each complication is associated with a significant risk of morbidity, mortality, and hospital resource utilization. The care for patients with mechanical complications is complex and requires a multidisciplinary collaboration for prompt recognition, diagnosis, hemodynamic stabilization, and decision support to assist patients and families in the selection of definitive therapies or palliation. However, because of the relatively small number of high-quality studies that exist to guide clinical practice, there is significant variability in care that mainly depends on local expertise and available resources.

Presentation, Treatment, and Outcomes of the Oldest-Old Patients with Acute Myocardial Infarction: The SILVER-AMI Study

BACKGROUND

Oldest-old patients (≥85 years) constitute half the acute myocardial infarction hospitalizations among older adults and more commonly have atypical presentation, under-treatment, and functional impairments. Yet this group has not been well characterized. We characterized differences in presentation, functional impairments, treatments, health status, and mortality among middle-old (75-84 years) and oldest-old patients with myocardial infarction.

METHODS

We analyzed data from the ComprehenSIVe Evaluation of Risk Factors in Older Patients with AMI (SILVER-AMI) study that enrolled 3041 patients ≥75 years of age from 94 hospitals across the US between 2013 and 2016. We performed Cox proportional hazards regression to examine the association between the oldest-old (n = 831) and middle-old (n = 2210) age categories with postdischarge 6-month case fatality rate adjusting for sociodemographic and clinical variables, and mobility impairment.

RESULTS

The oldest-old were less likely to present with chest pain (52.7% vs 57.7%) as their primary symptom or to receive coronary revascularization (58.1% vs 71.8) (P < .01 for both). The oldest-old were more likely to have functional impairments and had higher 6-month mortality compared with the middle-old patients (hazard ratio 1.78, 95% confidence interval, 1.39-2.28). This association was substantially attenuated after adjusting for mobility impairment (hazard ratio 1.29, confidence interval, 0.99-1.68).

CONCLUSIONS

There is considerable heterogeneity in presentation, treatment, and outcomes among older patients with myocardial infarction. Mobility impairment, a marker for frailty, modifies the association between advanced age and treatments as well as outcomes.

Evaluation of Changes in Veterans Affairs Medical Centers' Mortality Rates After Risk Adjustment for Socioeconomic Status

IMPORTANCE

Socioeconomic factors are associated with worse outcomes after hospitalization, but neither the Centers for Medicare & Medicaid Services (CMS) nor the Veterans Affairs (VA) health care system adjust for socioeconomic factors in profiling hospital mortality.

OBJECTIVE

To evaluate changes in Veterans Affairs medical centers' (VAMCs') risk-standardized mortality rates among veterans hospitalized for heart failure and pneumonia after adjusting for socioeconomic factors.

DESIGN, SETTING, AND PARTICIPANTS

In this cross-sectional study, retrospective data were used to assess 131 VAMCs' risk-standardized 30-day mortality rates with or without adjustment for socioeconomic covariates. The study population included 42 892 veterans hospitalized with heart failure and 39 062 veterans hospitalized with pneumonia from January 1, 2012, to December 31, 2014. Data were analyzed from March 1, 2019, to April 1, 2020.

MAIN OUTCOMES AND MEASURES

The primary outcome was 30-day mortality after admission. Socioeconomic covariates included neighborhood disadvantage, race/ethnicity, homelessness, rurality, nursing home residence, reason for Medicare eligibility, Medicaid and Medicare dual eligibility, and VA priority.

RESULTS

The study population included 42 892 veterans hospitalized with heart failure (98.2% male; mean [SD] age, 71.9 [11.4] years) and 39 062 veterans hospitalized with pneumonia (96.8% male; mean [SD] age, 71.0 [12.4] years). The addition of socioeconomic factors to the CMS models modestly increased the C statistic from 0.77 (95% CI, 0.77-0.78) to 0.78 (95% CI, 0.78-0.78) for 30-day mortality after heart failure and from 0.73 (95% CI, 0.72-0.73) to 0.74 (95% CI, 0.73-0.74) for 30-day mortality after pneumonia. Mortality rates were highly correlated (Spearman correlations of ≥0.98) in models that included or did not include socioeconomic factors. With the use of the CMS model for heart failure, VAMCs in the lowest quintile had a mean (SD) mortality rate of 6.0% (0.4%), those in the middle 3 quintiles had a mean (SD) mortality rate of 7.2% (0.4%), and those in the highest quintile had a mean (SD) mortality rate of 8.8% (0.6%). After the inclusion of socioeconomic covariates, the adjusted mean (SD) mortality was 6.1% (0.4%) for hospitals in the lowest quintile, 7.2% (0.4%) for those in the middle 3 quintiles, and 8.6% (0.5%) for those in the highest quintile. The mean absolute change in rank after socioeconomic adjustment was 3.0 ranking positions (interquartile range, 1.0-4.0) among hospitals in the highest quintile of mortality after heart failure and 4.4 ranking positions (interquartile range, 1.0-6.0) among VAMCs in the lowest quintile. Similar findings were observed for mortality rankings in pneumonia and after inclusion of clinical covariates.

CONCLUSIONS AND RELEVANCE

This study suggests that adjustments for socioeconomic factors did not meaningfully change VAMCs' risk-adjusted 30-day mortality rates for veterans hospitalized for heart failure and pneumonia. The implications of such adjustments should be examined for other quality measures and health systems.

The Association of Neighborhood Medical Facilities with Aging in Place and Risk of Incident Myocardial Infarction

Objectives: Aging in place (residential stability) is a desirable means of aging where adults remain in their homes, even when facing challenges that impair their capacity for self-care. Residential stability, especially following acute health challenges, depends on individual and community factors, possibly including proximity to medical facilities. Methods: We explored the association between the density of medical facilities around homes with risk of incident myocardial infarction (MI) and with aging in place following incident MI. Results: Densities of neighborhood pharmacies were not associated with aging in place or time to MI. High densities of neighborhood clinical care facilities were significantly associated with decreased residential stability. Discussion: The lack of significant associations between medical facility exposures and MI-related outcomes, coupled with prior findings, casts doubt on their salience and may indicate that other neighborhood features are more strongly associated with these outcomes.

Racial/Ethnic Disparities in Hospital Admissions from COVID-19 and Determining the Impact of Neighborhood Deprivation and Primary Language

Background Despite past and ongoing efforts to achieve health equity in the United States, persistent disparities in socioeconomic status along with multilevel racism maintain disparate outcomes and appear to be amplified by COVID-19. Objective Measure socioeconomic factors and primary language effects on the risk of COVID-19 severity across and within racial/ethnic groups. Design Retrospective cohort study. Setting Health records of 12 Midwest hospitals and 60 clinics in the U.S. between March 4, 2020 to August 19, 2020. Patients PCR+ COVID-19 patients. Exposures Main exposures included race/ethnicity, area deprivation index (ADI), and primary language. Main Outcomes and Measures The primary outcome was COVID-19 severity using hospitalization within 45 days of diagnosis. Logistic and competing-risk regression models (censored at 45 days and accounting for the competing risk of death prior to hospitalization) assessed the effects of neighborhood-level deprivation (using the ADI) and primary language. Within race effects of ADI and primary language were measured using logistic regression. Results 5,577 COVID-19 patients were included, 866 (n=15.5%) were hospitalized within 45 days of diagnosis. Hospitalized patients were older (60.9 vs. 40.4 years, p<0.001) and more likely to be male (n=425 [49.1%] vs. 2,049 [43.5%], p=0.002). Of those requiring hospitalization, 43.9% (n=381), 19.9% (n=172), 18.6% (n=161), and 11.8% (n=102) were White, Black, Asian, and Hispanic, respectively. Independent of ADI, minority race/ethnicity was associated with COVID-19 severity; Hispanic patients (OR 3.8, 95% CI 2.72-5.30), Asians (OR 2.39, 95% CI 1.74-3.29), and Blacks (OR 1.50, 95% CI 1.15-1.94). ADI was not associated with hospitalization. Non-English speaking (OR 1.91, 95% CI 1.51-2.43) significantly increased odds of hospital admission across and within minority groups. Conclusions Minority populations have increased odds of severe COVID-19 independent of neighborhood deprivation, a commonly suspected driver of disparate outcomes. Non-English-speaking accounts for differences across and within minority populations. These results support the continued concern that racism contributes to disparities during COVID-19 while also highlighting the underappreciated role primary language plays in COVID-19 severity across and within minority groups.

Perceived Stress Among Patients With Heart Failure Who Have Low Socioeconomic Status: A Mixed-Methods Study

BACKGROUND

Patient populations with low socioeconomic status (SES) experience psychological stress because of social determinants of health. Social determinants of health contribute to self-care-especially among patients with heart failure (HF).

OBJECTIVE

We sought to describe the influence of stress and social determinants of health on self-care in patients with HF who have low SES.

METHODS

In this mixed-methods, concurrent embedded study, participants (N = 35) were recruited from 2 urban hospitals in Chicago if they had low SES and were readmitted within 120 days of an exacerbation of HF. We conducted semistructured interviews to collect qualitative data about stressors associated with patients' living circumstances, strategies patients used to foster self-care, family dynamics, and coping strategies patients used to decrease stress. We measured psychological stress (Perceived Stress Scale [PSS-10]), and self-care (Self-care of Heart Failure Index). Content analysis was used to analyze the qualitative data, and descriptive statistics were used to describe the sample. In the final analytic phase, the qualitative and quantitative data were integrated.

RESULTS

Self-care was poor: 91.5% of participants had Self-care of Heart Failure Index subscale scores lower than 70. Perceived stress was high: 34% of participants had PSS-10 scores of 20 or higher. Several social determinants of health emerged as affecting self-care: financial stress, family personal health, past impactful deaths, and a recent stressful event (eg, child's death). Participants lived in areas with high crime and violence, and participants described many stressful events. However, among participants whose PSS-10 scores were lower than 20 (indicating lower stress), there was discordance among the description of factors impacting self-care and their PSS-10 score.

CONCLUSIONS

Social determinants of health negatively impact the ability of low-SES patients to manage their HF symptoms and adhere to a medication and dietary regimen. It is important that healthcare providers assess patients' stressors so appropriate referral to services can occur.

Socioeconomic Status and Differences in the Management and Outcomes of 6.6 Million US Patients With Acute Myocardial Infarction

Little is known about the impact of socioeconomic status (SES) on management strategies and in-hospital clinical outcomes in patients with acute myocardial infarction (AMI) and its subtypes, and whether these trends have changed over time. All AMI hospitalizations from the National Inpatient Sample (2004 to 2014) were analyzed and stratified by zip code-based median household income (MHI) into 4 quartiles (poorest to wealthiest): 0th to 25th, 26th to 50th, 51st to 75^th, and 76th to 100th. Logistic regression was performed to examine the association between MHI and AMI management strategy and in-hospital clinical outcomes. A total of 6,603,709 AMI hospitalizations were analyzed. Patients in the lowest MHI group had more co-morbidities, a worse cardiovascular risk factor profile and were more likely to be female. Differences in receipt of invasive management were observed between the lowest and highest MHI quartiles, with the lowest MHI group less likely to undergo coronary angiography (63.4% vs 64.3%, p <0.001) and percutaneous coronary intervention (40.4% vs 44.3%, p <0.001) compared with the highest MHI group, especially in the STEMI subgroup. In multivariable analysis, the highest MHI group experienced better outcomes including lower risk (adjusted odds ratio; 95% confidence intervals) of mortality (0.88; 0.88 to 0.89), MACCE (0.91; 0.91 to 0.92) and acute ischemic stroke (0.90; 0.88 to 0.91), but higher all-cause bleeding (1.08; 1.06 to 1.09) in comparison to the lowest MHI group. In conclusion, the provision of invasive management for AMI in patients with lower SES is less than patients with higher SES and is associated with worse in-hospital clinical outcomes. This work highlights the importance of ensuring equity of access and care across all strata SES.

Association of Outpatient Practice-Level Socioeconomic Disadvantage With Quality of Care and Outcomes Among Older Adults With Coronary Artery Disease: Implications for Value-Based Payment

BACKGROUND

Medicare patients with coronary artery disease (CAD) have been a significant focus of value-based payment programs for outpatient practices. Physicians and policymakers, however, have voiced concern that value-based payment programs may penalize practices that serve vulnerable populations. This study evaluated whether outpatient practices that serve socioeconomically disadvantaged populations have worse CAD outcomes, and if this reflects the delivery of lower-quality care or rather, patient and community factors beyond the care provided by physician practices.

METHODS AND RESULTS

Retrospective cohort study of Medicare fee-for-service patients ≥65 years with CAD at outpatient practices participating in the the Practice Innovation and Clinical Excellence registry from January 1, 2010 to January 1, 2015. Outpatient practices were stratified into quintiles by the proportion of most disadvantaged patients-defined by an area deprivation score in the highest 20% nationally-served at each practice site. Prescription of guideline recommended therapies for CAD as well as clinical outcomes (emergency department presentation for chest pain, hospital admission for unstable angina or acute myocardial infarction [AMI], 30-day readmission after AMI, and 30-day mortality after AMI) were evaluated by practice-level socioeconomic disadvantage with hierarchical logistic regression models, using practices serving the fewest socioeconomically disadvantaged patients as a reference. The study included 453 783 Medicare fee-for-service patients ≥65 years of age with CAD (mean [SD] age, 75.3 [7.7] years; 39.7% female) cared for at 271 outpatient practices. At practices serving the highest proportion of socioeconomically disadvantaged patients (group 5), compared with practices serving the lowest proportion (group 1), there was no significant difference in the likelihood of prescription of antiplatelet therapy (odds ratio [OR], 0.94 [95% CI, 0.69-1.27]), β-blocker therapy if prior myocardial infarction or left ventricular ejection fraction <40% (OR, 0.97 [95% CI, 0.69-1.35]), ACE (angiotensin-converting enzyme) inhibitor or angiotensin receptor blocker if left ventricular ejection fraction <40% and/or diabetes mellitus (OR, 0.93 [95% CI, 0.74-1.19]), statin therapy (OR, 0.88 [95% CI, 0.68-1.14]), or cardiac rehabilitation (OR, 0.45 [95% CI, 0.20-1.00]). Patients cared for at the most disadvantaged-serving practices (group 5) were more likely to be admitted for unstable angina (adjusted OR, 1.46 [95% CI, 1.04-2.05]). There was no significant difference in the likelihood of emergency department presentation for chest pain or hospital admission for AMI between practices. Thirty day mortality rates after AMI were higher among patients at the most disadvantaged-serving practices (aOR, 1.31 [95% CI, 1.02-1.68]), but 30-day readmission rates did not differ. All associations were attenuated after additional adjustment for patient-level area deprivation index.

CONCLUSIONS

Physician outpatient practices that serve the most socioeconomically disadvantaged patients with CAD perform worse on some clinical outcomes, despite providing similar guideline-recommended care as other practices, and consequently could fare poorly under value-based payment programs. Social factors beyond care provided by outpatient practices may partly explain worse outcomes. Policymakers should consider accounting for socioeconomic disadvantage in value-based payment programs initiatives that target outpatient practices.

Association Between Poverty and Appropriate Statin Prescription for the Treatment of Hyperlipidemia in the United States: An Analysis From the ACC NCDR PINNACLE Registry

BACKGROUND

Poverty is associated with a higher risk of myocardial infarction and cardiac death, both of which are decreased by treatment of hyperlipidemia. There may be differences in the appropriate treatment of hyperlipidemia between richer and poorer Americans. In this study, we aimed to evaluate the association between income level and appropriate lipid-lowering therapy.

METHODS

We identified outpatient visits in the National Cardiovascular Data Registry's Practice Innovation and Clinical Excellence (PINNACLE) Registry and determined appropriateness of lipid-lowering therapy among patients in different income quintiles (Quintile 5 being the highest income quintile). Logistic regression at the patient level was performed to evaluate the independent association of income and the primary outcome of appropriate statin therapy. The analysis was repeated before and after November 2013 given a change in guideline definitions.

RESULTS

The study included 1,655,723 patients. Overall, 68-73% of patients were treated appropriately under the ATP III Guidelines and 57-62% of patients were treated appropriately under the ACC/AHA Guidelines. Patients in the wealthiest quintile had higher odds of appropriate statin therapy under both guidelines relative to patients in the poorest quintile (OR 1.06 [1.05-1.07] for ATP III and OR 1.03 [1.01-1.04] for ACC/AHA). In the whole sample, patients with higher estimated income had a small but significant increased likelihood of appropriate statin therapy (point-biserial correlation 0.035 [p < 0.001] for ATP III and 0.026 [p < 0.001] for ACC/AHA).

CONCLUSIONS

Here we describe a small association between appropriate statin use and income. Further investigation into barriers in the use of evidence-based therapies in poorer populations is needed.

Outcomes of Children With Critical Bronchiolitis Living in Poor Communities

There are established associations between adverse health outcomes and poverty, but little is known regarding these associations in critically ill children. We hypothesized that living in poorer communities would be associated with unfavorable outcomes in children with critical bronchiolitis. This retrospective study included children with bronchiolitis admitted to a pediatric intensive care unit (PICU) over a 2-year period. Median household income was estimated from patient ZIP codes and 2014 US Census Bureau data. The 2014 Federal Poverty Threshold (FPT) for a family of 4 was $24 008. Patients were classified as living in ZIP codes below or above the 150% FPT (150FPT). Living <150FPT was associated with longer PICU length of stay (LOS), longer hospital LOS, higher odds of needing mechanical ventilation, and increased hospital charges. In this cohort of critically ill children with bronchiolitis, living in a poorer community was associated with more unfavorable clinical outcomes.

Neighborhood Socioeconomic Disadvantage and Care After Myocardial Infarction in the National Cardiovascular Data Registry

Background:

Patients living in disadvantaged neighborhoods are at high risk for adverse outcomes after acute myocardial infarction (MI). Whether residential socioeconomic status (SES) is associated with quality of in-hospital care among patients presenting with MI is unclear.

Methods and Results:

Multivariable logistic regression was used to examine the relationship between SES, quality of care, and in-hospital cardiovascular outcomes among patients with MI from diverse SES neighborhoods from July 2008 to December 2013, at 586 participating hospitals in the Acute Coronary Treatment and Intervention Outcomes Network Registry–Get With The Guidelines quality improvement program. Patients were categorized according to which SES summary measure group they resided in through linkage with US census block data. Outcomes were in-hospital mortality and major adverse cardiovascular events. Quality of MI care was assessed with the defect-free care measure that delineates the proportion of eligible patients who received all acute and discharge guideline-recommended therapies. Among 390 692 patients, there was a substantially longer median arrival-to-angiography time in lower SES neighborhoods (lowest 8.0 hours, low 5.5 hours, medium 4.8 hours, high 4.5 hours, highest 3.4 hours; P <0.0001), and a higher proportion of ST-segment–elevation myocardial infarction patients treated with fibrinolysis (lowest 23.1%, low 20.2%, medium 18.0%, high 14.2%, highest 5.9%; P <0.0001). However, after adjustment for clinical risk factors, insurance status, and hospital characteristics, socioeconomic disadvantage was not associated with lower rates of guideline-recommended defect-free acute care. Patients presenting from more disadvantaged neighborhoods had a progressively higher independent risk of in-hospital mortality ( P global =0.03) and major bleeding ( P global <0.001), along with lower quality of discharge care.

Conclusions:

In this national registry of MI, patients living in the most disadvantaged neighborhoods received equitable in-hospital care compared with advantaged neighborhoods. However, they experienced substantial delays in receiving angiography. Furthermore, patients living in disadvantaged neighborhoods remain at higher risk of adverse in-hospital outcomes after MI, including mortality. These observations suggest there are further opportunities for improvement in acute and discharge MI care.

Quality of life of patients with first-time AMI: a descriptive study

Background

Outcomes following acute myocardial infarction (AMI) may result in death, increased morbidity, and change in quality of life (QOL). This study explores health-related QOL of first-time patients following AMI.

Methods

This cross-sectional study used a sample of patients with first-time AMI experienced between April 2011 and March 2015 at a tertiary health institution. Recruited patients belonged to different post-AMI periods: 2–10 weeks, 5–22 months, and > 22 months to 4 years post AMI. Inclusion criteria were not confused and communicating freely. Exclusion criteria were non-contactable, refusing to participate, and deceased. One-on-one interviews were conducted using the validated and pre-tested Quality of Life after Myocardial Infarction (QLMI) questionnaire. QOL of patients after AMI was evaluated at each period. Descriptive, Mann–Whitney U, Kruskal–Wallis, and regression analyses were conducted using SPSS version 24.

Results

A total of 534 participant interviews (overall response rate 65.4%) were conducted. Interviewees were predominantly male (67%), aged 51–65 years (45%), Indo-Trinidadian (81.2%), NSTEMI (64.4%), and hypertensive (72.4%). Overall QOL improved over time and in all domains: Emotional, Physical, and Social. Lower QOL was found among women, patients with NSTEMI, and diabetics in all domains; in patients with hypertension and renal disease in the Physical and Social domains only; and in patients with ischaemic heart disease (IHD) in the Physical domain only. Self-reported stress and lack of exercise were associated with lower QOL while drinking alcohol and eating out were related to better QOL. Hypercholesterolemia, smoking, and ethnicity showed no association with QOL. Declining QOL in the Physical domain with age was also found. The leading components of QOL were self-confidence and social exclusion (early post AMI), lack of self-confidence (intermediate post AMI), and tearfulness (late post AMI).

Conclusions

QOL in AMI survivors improves over time. Female gender, NSTEMI, diabetes, hypertension, renal disease, stress, and lack of exercise were associated with lower QOL while hypercholesterolemia, smoking, and ethnicity showed no association with QOL. Cardiac rehabilitation and psychological support may enhance earlier increased QOL among survivors, particularly among vulnerable groups.

Effect of Sociodemographic Variables and Other Factors on the Usage of Different Doses of Aspirin in Postmyocardial Infarction Patients: A Cross-sectional Study

Background:

Aspirin (acetylsalicylic acid) is commonly prescribed to patients with a history of myocardial infarction (MI) or occlusive vascular events (e.g., stroke). Due to the complications associated with failure to follow aspirin usage guidelines, determining predictors of aspirin noncompliance in these patient populations is of clinical value and may help prevent poor outcomes.

Methods:

This cross-sectional study of all patients with a previously diagnosed MI was conducted over a period of 3 months from May 2015 to July 2015 at a government-based hospital in Karachi, Pakistan. Patients were administered a questionnaire that comprised two parts. Part A was designed to measure sociodemographic data including age, gender, and marital status. Part B determined whether the patient was counseled on aspirin significance, and dosage recommendation, and was participating in cardiac rehabilitation therapy.

Results:

A total of 456 patients included in the study. Of them, 298 (66.7%) were males. The average age was 59 (standard deviation 11) years. The outcome from univariate logistic regression revealed that with 1 year increase of age, the usage of low dose of aspirin was significantly decreased by 2%. Patients with higher education attributed a significantly different effect on the usage of aspirin. Marital status divulged no significant association with the use of different doses of aspirin. The role of rehabilitation had no effect when adjusted for age and level of education.

Conclusion:

Post-MI patients with higher education level and undergoing rehabilitative therapy are more likely to take low-dose aspirin as compared to those who failed to have these attributes. There is a need for carrying out further work to confirm these findings and expand our recommendations, particularly the sensitive issue regarding adequate doctor counseling among these high-risk patients.

Quantifying sociodemographic and income disparities in medical therapy and lifestyle among symptomatic patients with suspected coronary artery disease: a cross-sectional study in North America

OBJECTIVES

To evaluate potential gaps in preventive medical therapy and healthy lifestyle practices among symptomatic patients with suspected coronary artery disease (CAD) seeing primary care physicians and cardiologists and how gaps vary by sociodemographic characteristics and baseline cardiovascular risk.

DESIGN

Cross-sectional study assessing potential preventive gaps.

PARTICIPANTS

10 003 symptomatic outpatients evaluated by primary care physicians, cardiologists or other specialists for suspected CAD.

SETTING

PROspective Multicenter Imaging Study for Evaluation of Chest Painfrom 2010 to 2014.

MEASURES

Primary measures were absence of an antihypertensive, statin or angiotensin-converting enzyme inhibitor/angiotensin receptor blocker for renal protection in patients with hypertension, dyslipidaemia or diabetes, respectively, and being sedentary, smoking or being obese.

RESULTS

Preventive treatment gaps affected 14% of patients with hypertension, 36% of patients with dyslipidaemia and 32% of patients with diabetes. Overall, 49% of patients were sedentary, 18% currently smoked and 48% were obese. Women were significantly more likely to not take a statin for dyslipidaemia and to be sedentary. Patients with lower socioeconomic status were also significantly more likely to not take a statin. Compared with Whites, Blacks were significantly more likely to be obese, while Asians were less likely to smoke or be obese. High-risk patients sometimes experienced larger preventive care gaps than low-risk patients. For patients with dyslipidaemia, the presence of a treatment gap was associated with a higher risk of an adverse event (HR 1.35, 95% CI 1.02 to 1.82).

CONCLUSIONS

Among contemporary, symptomatic patients with suspected CAD, significant gaps exist in preventive care and lifestyle practices, and high-risk patients sometimes had larger gaps. Differences by sex, age, race/ethnicity, socioeconomic status and geography are modest but contribute to disparities and have implications for improving opulation health. For patients with dyslipidaemia, the presence of a treatment gap was associated with a higher risk of an adverse event.

CLINICAL TRIAL REGISTRATION

Clinical Trials.gov identifier NCT01174550.

The effect of socioeconomic disadvantage on prescription of guideline-recommended medications for patients with acute coronary syndrome: systematic review and meta-analysis

BACKGROUND

There are varying data on whether socioeconomic status (SES) affects the treatment in patients with acute coronary syndrome (ACS). Our aim was to obtain a reliable estimate of the effect of SES on discharge prescription of medications following an ACS through systematic review and meta-analysis.

METHODS

Medline, EMBASE and Global Health were searched systematically on 6th April 2016. Studies were eligible if the participants had ACS and reported the rate/odds of guideline-recommended ACS medications prescription (aspirin, antiplatelet, beta blocker, angiotensin co-enzyme inhibitors (ACEi)/angiotensin receptor blockers (ARB) and statin) at discharge stratified by SES. A meta-analysis was performed to pool the estimates, comparing the prescription ratio (PR) between the lowest and the highest SES groups.

RESULTS

Of 252 articles found from the search, seven met the eligibility criteria and it included 41,462 (20,986 from the lowest SES group) patients. We found that the individual/neighbourhood level SES did not affect the prescription of aspirin (PR (95% CI): 0.97 (0.91, 1.03)), but for beta blocker and statin, the lowest SES group were disadvantaged (0.84 (0.73, 0.94), 0.80 (0.62, 0.98), respectively). In contrast, ACEi were prescribed more often to the lowest individual/neighbourhood level SES group than the highest (1.13 (1.05, 1.22)). Although the risk of bias was low, there was considerable heterogeneity between the studies.

CONCLUSIONS

Despite the recommendations to close the treatment gap, the rate of prescription of guideline-recommended medications in managing ACS is significantly different between patients with the lowest and the highest groups. A solution is needed to provide equitable care across the SES groups.

PROSPERO REGISTRY

Systematic review registration no.: CRD42016048503. Registered 28 September 2016.

Effect of Socioeconomic Status on Propensity to Change Risk Behaviors Following Myocardial Infarction: Implications for Healthy Lifestyle Medicine

Failure to change risk behaviors following myocardial infarction (MI) increases the likelihood of recurrent MI and death. Lower-socioeconomic status (SES) patients are more likely to engage in high-risk behaviors prior to MI. Less well known is whether propensity to change risk behaviors after MI also varies inversely with SES. We performed a systematized literature review addressing changes in risk behaviors following MI as a function of SES. 2160 abstracts were reviewed and 44 met eligibility criteria. Behaviors included smoking cessation, cardiac rehabilitation (CR), medication adherence, diet, and physical activity (PA). For each behavior, lower-SES patients were less likely to change after MI. Overall, lower-SES patients were 2 to 4 times less likely to make needed behavior changes (OR's 0.25-0.56). Lower-SES populations are less successful at changing risk behaviors post-MI. Increasing their participation in CR/secondary prevention programs, which address multiple risk behaviors, including increasing PA and exercise, should be a priority of healthy lifestyle medicine (HLM).

Neighborhood Differences in Post-Stroke Mortality

BACKGROUND

Post-stroke mortality is higher among residents of disadvantaged neighborhoods, but it is not known whether neighborhood inequalities are specific to stroke survival or similar to mortality patterns in the general population. We hypothesized that neighborhood disadvantage would predict higher poststroke mortality, and neighborhood effects would be relatively larger for stroke patients than for individuals with no history of stroke.

METHODS AND RESULTS

Health and Retirement Study participants aged ≥50 years without stroke at baseline (n=15 560) were followed ≤12 years for incident stroke (1715 events over 159 286 person-years) and mortality (5325 deaths). Baseline neighborhood characteristics included objective measures based on census tracts (family income, poverty, deprivation, residential stability, and percent white, black, or foreign-born) and self-reported neighborhood social ties. Using Cox proportional hazard models, we compared neighborhood mortality effects for people with versus people without a history of stroke. Most neighborhood variables predicted mortality for both stroke patients and the general population in demographic-adjusted models. Neighborhood percent white predicted lower mortality for stroke survivors (hazard ratio, 0.75 for neighborhoods in highest 25th percentile versus below, 95% confidence interval, 0.62-0.91) more strongly than for stroke-free adults (hazard ratio, 0.92; 95% confidence interval, 0.83-1.02; P=0.04 for stroke-by-neighborhood interaction). No other neighborhood characteristic had different effects for people with versus without stroke. Neighborhood-mortality associations emerged within 3 months after stroke, when associations were often stronger than among stroke-free individuals.

CONCLUSIONS

Neighborhood characteristics predict mortality, but most effects are similar for individuals without stroke. Eliminating disparities in stroke survival may require addressing pathways that are not specific to traditional poststroke care.

Factors influencing the initiation of intensive care in elderly patients and their families: A retrospective cohort study

BACKGROUND

The number of elderly patients admitted to the intensive care unit is constantly growing. However, a decision regarding intensive care in these populations remains a challenge.

AIM

To identify factors that influences the decision of elderly patients and their families about whether to initiate intensive care in case of an acute event.

DESIGN/PARTICIPANTS

Medical records of patients (>80 years), who were admitted to general wards and referred for intensive care, were retrospectively reviewed. Patients who received intensive care were compared with those not agreeing to the initiation of intensive care.

RESULTS

Among the 125 patients, 45 agreed to receiving intensive care. Baseline characteristics at the time of intensive care unit referral were similar between the intensive care and non-intensive care groups. Only one patient had advance directives before the intensive care unit referral. Lower economic status (odds ratio = 0.27, 95% confidence interval = 0.08-0.94) and cognitive impairment (odds ratio = 0.20, 95% confidence interval = 0.07-0.56) were found associated with a lower likelihood of agreeing to intensive care, while a large number of participants involved in the decision-making process were associated with a higher likelihood of intensive care unit use (odds ratio = 1.82, 95% confidence interval = 1.08-3.09). Mean duration of hospital stay was longer for the intensive care group as compared with the non-intensive care group (28.8 days and 19.8 days, respectively, p = 0.03). However, there was no significant difference in the survival rate.

CONCLUSION

The initiation of intensive care in elderly patients was influenced not only by medical conditions but also by the patient's economic status and the number of family members involved in the decision-making process.

The impact of the combination of income and education on the incidence of coronary heart disease in the prospective Reasons for Geographic and Racial Differences in Stroke (REGARDS) cohort study

BACKGROUND

We investigated the association between income-education groups and incident coronary heart disease (CHD) in a national prospective cohort study.

METHODS

The REasons for Geographic And Racial Differences in Stroke study recruited 30,239 black and white community-dwelling adults between 2003 and 2007 and collected participant-reported and in-home physiologic variables at baseline, with expert adjudicated CHD endpoints during follow-up. Mutually exclusive income-education groups were: low income (annual household income <$35,000)/low education (< high school), low income/high education, high income/low education, and high income/high education. Cox models estimated hazard ratios (HR) for incident CHD for each exposure group, examining differences by age group.

RESULTS

At baseline, 24,461 participants free of CHD experienced 809 incident CHD events through December 31, 2011 (median follow-up 6.0 years; interquartile range 4.5-7.3 years). Those with low income/low education had the highest incidence of CHD (10.1 [95% CI 8.4-12.1]/1000 person-years). After full adjustment, those with low income/low education had higher risk of incident CHD (HR 1.42 [95% CI: 1.14-1.76]) than those with high income/high education, but findings varied by age. Among those aged <65 years, compared with those reporting high income/high education, risk of incident CHD was significantly higher for those reporting low income/low education and low income/high education (adjusted HR 2.07 [95% CI 1.42-3.01] and 1.69 [95% CI 1.30-2.20], respectively). Those aged ≥ 65 years, risk of incident CHD was similar across income-education groups after full adjustment.

CONCLUSION

For younger individuals, low income, regardless of education, was associated with higher risk of CHD, but not observed for ≥ 65 years. Findings suggest that for younger participants, education attainment may not overcome the disadvantage conferred by low income in terms of CHD risk, whereas among those ≥ 65 years, the independent effects of income and education are less pronounced.

The Combined Influence of Sociodemographic, Preoperative Comorbid and Intraoperative Factors on Longer Length of Stay After Elective Primary Total Knee Arthroplasty

This study assessed the collective association of sociodemographic, preoperative comorbid and intraoperative factors with longer length of stay (LOS) following elective primary total knee arthroplasty. Sociodemographic characteristics examined on 2638 adult cases included age, race/ethnicity, gender and socioeconomic status (SES). Intraoperative factors included operating time and anesthesia type. The collective associations of lower SES, female gender, advanced age, non-Caucasian race/ethnicity and certain comorbidities do present a synergistically elevated risk for longer LOS. In a value-driven healthcare environment, these findings further warrant the need for policymakers and payers to consider sociodemographic status when allocating resources to hospitals serving such patients.

Educational Level and Long-term Mortality in Patients With Acute Myocardial Infarction

INTRODUCTION AND OBJECTIVES

The value of socioeconomic status as a prognostic marker in acute myocardial infarction is controversial. The aim of this study was to evaluate the impact of educational level, as a marker of socioeconomic status, on the prognosis of long-term survival after acute myocardial infarction.

METHODS

We conducted a prospective, observational study of 5797 patients admitted to hospital with acute myocardial infarction. We studied long-term all-cause mortality (median 8.5 years) using adjusted regression models.

RESULTS

We found that 73.1% of patients had primary school education (n=4240), 14.5% had secondary school education (including high school) (n=843), 7.0% was illiterate (n=407), and 5.3% had higher education (n=307). Patients with secondary school or higher education were significantly younger, more were male, and they had fewer risk factors and comorbidity. These patients arrived sooner at hospital and had less severe heart failure. During admission they received more reperfusion therapy and their crude mortality was lower. Their drug treatment in hospital and at discharge followed guideline recommendations more closely. On multivariate analysis, secondary school or higher education was an independent predictor and protective factor for long-term mortality (hazard ratio=0.85; 95% confidence interval, 0.74-0.98).

CONCLUSIONS

Our study shows an inverse and independent relationship between educational level and long-term mortality in patients with acute myocardial infarction.

Socioeconomic inequalities in quality of care and outcomes among patients with acute coronary syndrome in the modern era of drug eluting stents

BACKGROUND

The rapidly changing landscape of percutaneous coronary intervention provides a unique model for examining disparities over time. Previous studies have not examined socioeconomic inequalities in the current era of drug eluting stents (DES).

METHODS AND RESULTS

We analyzed 835 070 hospitalizations for acute coronary syndrome (ACS) from the Healthcare Cost and Utilization Project across all insurance types from 2008 to 2011, examining whether quality of care and outcomes for patients with ACS differed by income (based on zip code of residence) with adjustment for patient characteristics and clustering by hospital. We found that lower-income patients were less likely to receive an angiogram within 24 hours of a ST elevation myocardial infarction (STEMI) (69.5% for IQ1 versus 73.7% for IQ4, P<0.0001, OR 0.79 [0.68 to 0.91]) or within 48 hours of a Non-STEMI (47.6% for IQ1 versus 51.8% for IQ4, P<0.0001, OR 0.86 [0.75 to 0.99]). Lower income was associated with less use of a DES (64.7% for IQ1 versus 71.2% for IQ4, P<0.0001, OR 0.83 [0.74 to 0.93]). However, no differences were found for coronary artery bypass surgery. Among STEMI patients, lower-income patients also had slightly increased adjusted mortality rates (10.8% for IQ1 versus 9.4% for IQ4, P<0.0001, OR 1.17 [1.11 to 1.25]). After further adjusting for time to reperfusion among STEMI patients, mortality differences across income groups decreased.

CONCLUSIONS

For the most well accepted procedural treatments for ACS, income inequalities have faded. However, such inequalities have persisted for DES use, a relatively expensive and until recently, controversial revascularization procedure. Differences in mortality are significantly associated with differences in time to primary PCI, suggesting an important target for understanding why these inequalities persist.

Gender, socioeconomic position, revascularization procedures and mortality in patients presenting with STEMI and NSTEMI in the era of primary PCI. Differences or inequities?

BACKGROUND

Several studies have reported gender and socioeconomic differences in the use of revascularization procedures in patients with acute myocardial infarction. However, it is not clear whether these differences influence patients' survival. Moreover, most of the studies neither considered STEMI and NSTEMI separately, nor included primary PCI, which nowadays is the treatment of choice in case of AMI. In an unselected population of patients admitted to hospital with a first episode of STEMI and NSTEMI we examined gender and socioeconomic differences in the use of cardiac invasive procedures and in one-year mortality.

METHODS

Subjects hospitalized with a first episode of STEMI (n=3506) or NSTEMI (n=2286) were selected from the Piedmont (Italy) hospital discharge database. We considered the percentage of patients undergoing PCI, primary PCI and CABG, and in-hospital mortality. Out of hospital mortality was calculated through record linkage with the regional register. The relation between outcomes and gender or educational level was investigated using appropriate multivariate regression models adjusting for available confounders.

RESULTS

After adjustment for age, comorbidity and hospital characteristics, women and low educated patients had a lower probability of undergoing revascularization procedures. However, neither in-hospital, nor 30-day, nor 1-year mortality showed gender or social disparities.

CONCLUSIONS

Despite gender and socioeconomic differences in the use of revascularization, no differences emerged in in-hospital and 1-year mortality. These findings could suggest that patients are differently, but equitably, treated; differences are more likely due to an inability to fully adjust for clinical conditions rather than to a selection process at admission.

Socioeconomic status, cognitive-emotional factors, and health status following myocardial infarction: testing the Reserve Capacity Model

Health disparities by socioeconomic status (SES) exist for many outcomes, including patients' subjective health status after myocardial infarction (MI). The Reserve Capacity Model (RCM), a theoretical means to understand such disparities, was tested to examine the possible mediating effects of cognitive-emotional factors on the association between SES and health status. Data from 2,348 post-MI patients in PREMIER were used. Indicators of SES were collected during hospitalization via personal interviews, while participants completed measures of stress and reserves at 1 month, depressive symptoms at 6 months, and health status at 1 year through telephone interviews. Structural equation model results provide partial support for the RCM, as cognitive-emotional factors partially mediated the association between SES and mental health status. For physical health status, results supported direct rather than indirect effects of SES. Findings suggest psychosocial interventions with patients of low SES will have their greatest effects on appraisals of psychological health status.

Individual education, area income, and mortality and recurrence of myocardial infarction in a Medicare cohort: the National Longitudinal Mortality Study

Background

The Medicare program provides universal access to hospital care for the elderly; however, mortality disparities may still persist in this population. The association of individual education and area income with survival and recurrence post Myocardial Infarction (MI) was assessed in a national sample.

Methods

Individual level education from the National Longitudinal Mortality Study was linked to Medicare and National Death Index records over the period of 1991-2001 to test the association of individual education and zip code tabulation area median income with survival and recurrence post-MI. Survival was partitioned into 3 periods: in-hospital, discharge to 1 year, and 1 year to 5 years and recurrence was partitioned into two periods: 28 day to 1 year, and 1 year to 5 years.

Results

First MIs were found in 8,043 women and 7,929 men. In women and men 66-79 years of age, less than a high school education compared with a college degree or more was associated with 1-5 year mortality in both women (HRR 1.61, 95% confidence interval 1.03-2.50) and men (HRR 1.37, 1.06-1.76). Education was also associated with 1-5 year recurrence in men (HRR 1.68, 1.18-2.41, < High School compared with college degree or more), but not women. Across the spectrum of survival and recurrence periods median zip code level income was inconsistently associated with outcomes. Associations were limited to discharge-1 year survival (RR lowest versus highest quintile 1.31, 95% confidence interval 1.03-1.67) and 28 day-1 year recurrence (RR lowest versus highest quintile 1.72, 95% confidence interval 1.14-2.57) in older men.

Conclusions

Despite the Medicare entitlement program, disparities related to individual socioeconomic status remain. Additional research is needed to elucidate the barriers and mechanisms to eliminating health disparities among the elderly.

Contribution of hospital mortality variations to socioeconomic disparities in in-hospital mortality

BACKGROUND

While disparities in hospital care outcomes based on ethnicity or socioeconomic status have been documented in some nations, it is unclear to what extent this phenomenon occurs in high-income countries like Korea with relatively low income inequality.

METHODS

We examined in-hospital mortality rates for wealthy and poor patients in South Korea for five common medical conditions. We measured in-hospital mortality rates and examined within-hospital differences (wealthy and poor patients receive different care at the same institution) as well as between-hospital differences (wealthy and poor patients receiving care at different institutions) across socioeconomic status. We built multivariable models that adjusted for risk and further adjusted our analyses for hospital characteristics including a hospital's overall mortality ranking.

RESULTS

There were 127,438 patients with one of the five conditions examined nested in 66 Korean hospitals. We found moderate differences in mortality rates between wealthy and poor patients across four of the five conditions. These mortality differences were largely attributable to differences in mortality rates for wealthy patients compared with those for poor patients within the same hospital (within-hospital variation) while a relatively small portion of these disparities were attributable to mortality difference between hospitals where wealthy and poor patients seek care (between-hospital variation). For example, we estimate that improving care for poor patients in the same hospital can eliminate 86% of the disparities for acute myocardial infarction outcomes, while ensuring equal access to low mortality hospitals would reduce only 16% of the disparities in outcomes.

CONCLUSIONS

This study suggests that to reduce socioeconomic disparities in hospital mortality, interventions that target within-hospital effects may be more effective than interventions targeting between hospital effects.

Long-term survival among older patients with myocardial infarction differs by educational level: results from the MONICA/KORA myocardial infarction registry

Background

Socioeconomic disparities in survival after acute myocardial infarction (AMI) have been found in many countries. However, population-based results from Germany are lacking so far. Thus, the objective of this study was to examine the association between educational status and long-term mortality in a population-based sample of people with AMI.

Methods

The sample consisted of 2,575 men and 844 women, aged 28–74 years, hospitalized with a first-time AMI between 1 January 2000 and 31 December 2008, recruited from a population-based AMI registry. Patients were followed up until December 2011. Data on education, risk factors and co-morbidities were collected by individual interviews; data on clinical characteristics and AMI treatment by chart review. Cox proportional hazards models were used to assess the relationship between educational status and long-term mortality.

Results

During follow-up, 19.1% of the patients with poor education died compared with 13.1% with higher education. After adjustment for covariates, no effect of education on mortality was found for the total sample and for patients aged below 65 years. In older people, however, low education level was significantly associated with increased mortality (hazard ratio (HR) 1.44, 95% confidence interval (CI) 1.05–1.98, p = 0.023). Stratified analyses showed that women older than 64 years with poor education were significantly more likely to die than women in the same age group with higher education (HR 1.57, 95% CI 1.02–2.41, p = 0.039).

Conclusions

Elderly, poorly educated patients with AMI, and particularly women, have poorer long-term survival than their better educated peers. Further research is required to illuminate the reasons for this finding.

Low socioeconomic status increases short-term mortality of acute myocardial infarction despite universal health coverage

BACKGROUND

This nationwide population-based study investigated the relationship between individual and neighborhood socioeconomic status (SES) and mortality rates for acute myocardial infarction (AMI) in Taiwan.

METHODS

A population-based follow-up study included 23,568 patients diagnosed with AMI from 2004 to 2008. Each patient was monitored for 2 years, or until their death, whichever came first. The individual income-related insurance payment amount was used as a proxy measure of patient's individual SES. Neighborhood SES was defined by household income, and neighborhoods were grouped as advantaged or disadvantaged. The Cox proportional hazards model was used to compare the mortality rates between the different SES groups after adjusting for possible confounding risk factors.

RESULTS

After adjusting for potential confounding factors, AMI patients with low individual SES had an increased risk of death than those with high individual SES who resided in advantaged neighborhoods. In contrast, the cumulative readmission rate from major adverse cardiovascular events did not differ significantly between the different individual and neighborhood SES groups. AMI patients with low individual SES had a lower rate of diagnostic angiography and subsequent percutaneous coronary intervention (P<0.001). The presence of congestive heart failure, chronic kidney disease, chronic obstructive pulmonary disease, pneumonia, septicemia, and shock revealed an incremental increase with worse SES (P<0.001).

CONCLUSIONS

The findings indicate that AMI patients with low individual SES have the greatest risk of short-term mortality despite being under a universal health-care system. Public health strategies and welfare policies must continue to focus on this vulnerable group.

Healthcare disparities in critical illness

OBJECTIVE

To summarize the current literature on racial and gender disparities in critical care and the mechanisms underlying these disparities in the course of acute critical illness.

DATA SOURCES

MEDLINE search on the published literature addressing racial, ethnic, or gender disparities in acute critical illness, such as sepsis, acute lung injury, pneumonia, venous thromboembolism, and cardiac arrest.

STUDY SELECTION

Clinical studies that evaluated general critically ill patient populations in the United States as well as specific critical care conditions were reviewed with a focus on studies evaluating factors and contributors to health disparities.

DATA EXTRACTION

Study findings are presented according to their association with the prevalence, clinical presentation, management, and outcomes in acute critical illness.

DATA SYNTHESIS

This review presents potential contributors for racial and gender disparities related to genetic susceptibility, comorbidities, preventive health services, socioeconomic factors, cultural differences, and access to care. The data are organized along the course of acute critical illness.

CONCLUSIONS

The literature to date shows that disparities in critical care are most likely multifactorial involving individual, community, and hospital-level factors at several points in the continuum of acute critical illness. The data presented identify potential targets as interventions to reduce disparities in critical care and future avenues for research.

What is the effect of area size when using local area practice style as an instrument?

OBJECTIVES

Discuss the tradeoffs inherent in choosing a local area size when using a measure of local area practice style as an instrument in instrumental variable estimation when assessing treatment effectiveness.

STUDY DESIGN

Assess the effectiveness of angiotensin converting-enzyme inhibitors and angiotensin receptor blockers on survival after acute myocardial infarction for Medicare beneficiaries using practice style instruments based on different-sized local areas around patients. We contrasted treatment effect estimates using different local area sizes in terms of the strength of the relationship between local area practice styles and individual patient treatment choices; and indirect assessments of the assumption violations.

RESULTS

Using smaller local areas to measure practice styles exploits more treatment variation and results in smaller standard errors. However, if treatment effects are heterogeneous, the use of smaller local areas may increase the risk that local practice style measures are dominated by differences in average treatment effectiveness across areas and bias results toward greater effectiveness.

CONCLUSION

Local area practice style measures can be useful instruments in instrumental variable analysis, but the use of smaller local area sizes to generate greater treatment variation may result in treatment effect estimates that are biased toward higher effectiveness. Assessment of whether ecological bias can be mitigated by changing local area size requires the use of outside data sources.

Socioeconomic disparities in the use of cardioprotective medications among patients with peripheral artery disease: an analysis of the American College of Cardiology's NCDR PINNACLE Registry

OBJECTIVES

The aim of this paper was to examine disparities in the use of cardioprotective medications in the treatment of peripheral artery disease (PAD) by socioeconomic status (SES).

BACKGROUND

PAD is associated with increased cardiovascular risk and is more prevalent among those of lower SES. However, the use of guideline-recommended secondary preventive measures for the treatment of PAD across diverse income subgroups and the influence of practice site on potential treatment disparities by SES are unknown.

METHODS

Within the National Cardiovascular Disease Registry (NCDR) PINNACLE Registry, 62,690 patients with PAD were categorized into quintiles of SES, as defined by the median income of each patient's zip code. The association between SES and secondary preventive treatment with antiplatelet and statin medications was evaluated using sequential hierarchical modified Poison models, adjusting first for practice site and then for clinical variables.

RESULTS

Compared with the highest SES quintile (median income: >$60,868), PAD patients in the lowest SES quintile (median income: <$34,486) were treated less often with statins (72.5% vs. 85.8%; RR: 0.84; 95% CI: 0.83 to 0.86; p < 0.001) and antiplatelet therapy (79.0% vs. 84.6%; RR: 0.93; 95% CI: 0.91 to 0.94; p < 0.001). These differences were markedly attenuated after controlling for practice site variation: statins (adjusted RR: 0.97; 95% CI: 0.95 to 0.99; p = 0.003) and antiplatelet therapy (adjusted RR: 0.98; 95% CI: 0.97 to 1.00; p = 0.012). Additional adjustment for patients' clinical characteristics had minimal impact, with slight further attenuation with statins (adjusted RR: 1.00: 95% CI: 0.99 to 1.01; p = 0.772) and antiplatelet therapy (adjusted RR: 1.00; 95% CI: 0.99 to 1.01; p = 0.878).

CONCLUSIONS

Among PAD patients, the practice site at which patients received care largely explained the observed SES differences in treatment with guideline-recommended secondary preventive medications. Future efforts to reduce treatment disparities in these vulnerable populations should target systems improvement at practices serving high proportions of patients with low SES.

Long-term exposure to air pollution is associated with survival following acute coronary syndrome

Aims

The aim of this study was to determine (i) whether long-term exposure to air pollution was associated with all-cause mortality using the Myocardial Ischaemia National Audit Project (MINAP) data for England and Wales, and (ii) the extent to which exposure to air pollution contributed to socioeconomic inequalities in prognosis.

Methods and results

Records of patients admitted to hospital with acute coronary syndrome (ACS) in MINAP collected under the National Institute for Cardiovascular Outcomes Research were linked to modelled annual average air pollution concentrations for 2004–10. Hazard ratios for mortality starting 28 days after admission were estimated using Cox proportional hazards models. Among the 154 204 patients included in the cohort, the average follow-up was 3.7 years and there were 39 863 deaths. Mortality rates were higher for individuals exposed to higher levels of particles with a diameter of ≤2.5 µm (PM_2.5; PM, particulate matter): the fully adjusted hazard ratio for a 10 µg/m³ increase in PM_2.5 was 1.20 (95% CI 1.04–1.38). No associations were observed for larger particles or oxides of nitrogen. Air pollution explained socioeconomic inequalities in survival to only a small extent.

Conclusion

Mortality from all causes was higher among individuals with greater exposure to PM_2.5 in survivors of hospital admission for ACS in England and Wales. Despite higher exposure to PM_2.5 among those from more deprived areas, such exposure was a minor contribution to the socioeconomic inequalities in prognosis following ACS. Our findings add to the evidence of mortality associated with long-term exposure to fine particles.